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References

Anderson, D.L.T., and A.M. Moore. 1989. Initialization of equatorial waves in ocean models. J. Phys. Oceanogr. 19:116–121.

Anderson, D., A. Hollingsworth, S. Uppala, and P. Woiceshyn. 1991. A study of the use of scatterometer data in the European Centre for Medium Range Weather Forecasts operational analysis-forecast model, 1, Quality assurance and validation. J. Geophys. Res. 96:2619–2634.

Andersson E., A. Hollingsworth, G. Kelly, P. Lönnberg, J. Pailleux, and Z. Zhang. 1991. Observing system experiments on NESDIS statistical retrievals of TOVS satellite data using the 1988 ECMWF data assimilation system. To appear in Mon. Weather Rev., July issue.

Andre, J.-C., J.-P. Goutorbe, and A. Perrier. 1986. HAPEX-MOBILHY: A hydrologic atmospheric experiment for the study of water budget and evaporation flux at the climatic scale. Bull. Am. Meteorol. Soc. 67:138–145.

Arkin, P.A., and P.E. Ardanuy. 1989. Estimating climatic-scale precipitation from space: A review. J. Climate 2:1229–1238.

Arpe, K. 1991. The hydrological cycle in the ECMWF short range forecasts. Accepted by Dyn. Atmos. Oceans.

Atlas, R., A.J. Busalacchi, M. Ghil, S. Bloom, and E. Kalnay. 1987. Global surface wind and flux fields from model assimilation. J. Geophys. Res. 92:6477–6487.


Bennett, A.F., and W.P. Budgell. 1987. Ocean data assimilation and the Kalman filter, spatial regularity. J. Phys. Oceanogr. 17:1583–1601.

Bennett, A.F., and P.C. McIntosh. 1982. Open ocean modeling as an inverse problem: Tidal theory. J. Phys. Oceanogr. 12:1004–1018.

Bierman, G.J. 1977. Factorization Methods for Discrete Sequential Estimation. Academic Press. Orlando, Fla., 241 pp.

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×

Bucy, R.S., and P.D. Joseph. 1987. Filtering for Stochastic Processes with Applications to Guidance, 2nd ed. Chelsea, New York, 217 pp.

Budgell, N.P. 1986. Nonlinear data assimilation for shallow water equations in branched channels. J. Geophys. Res. 91:10633–10644.

Cane, M.A., S.E. Zebiak, and S.C. Dolan. 1986. Experimental forecasts of El Niño. Nature 321:827–832.

CES. 1989. Our Changing Planet: The FY 1990 Research Plan. A report by the Committee on Earth Sciences. Federal Coordinating Council on Science, Engineering, and Technology, Office of Science and Technology Policy, Washington, D.C., 181 pp.

Charney, J.G., M. Halem, and R. Jastrow. 1969. Use of incomplete historical data to infer the present state of the atmosphere. J. Atmos. Sci. 26:1160–1163.


Davies, H.C., and R.E. Turner. 1977. Updating prediction models by dynamical relaxation: An examination of the technique. Q. J. R. Meteorol. Soc. 103:225–245.

Derber, J.C. 1989. A variational continuous assimilation technique. Mon. Weather Rev. 117:2437–2446.

Derber, J., and A. Rosati. 1989. A global oceanic data assimilation system. J. Phys. Oceanogr. 19:1333–1347.


Gandin, L.S. 1963. Objective Analysis of Meteorological Fields. Leningrad, Gidrometeoizdat, in Russian. (English Translation: Israel Program for Scientific Translations, Jerusalem, 1965, 242 pp.)

Gelb, A., ed. 1974. Applied Optimal Estimation. M.I.T. Press, Cambridge, Mass., 374 pp.

Ghil, M. 1989. Meteorological data assimilation for oceanographers. Part I: Description and theoretical framework. Dyn. Atmos. Oceans 13:171–218.

Ghil, M., and S. Childress. 1987. Topics in Geophysical Fluid Dynamics, Atmospheric Dynamics, Dynamo Theory and Climate Dynamics. Springer-Verlag, New York, 485 pp.

Ghil, M., and P. Malanotte-Rizzoli. 1991. Data assimilation in meteorology and oceanography. Adv. Geophys., in press.

Ghil, M., M. Halem, and R. Atlas. 1979. Time-continuous assimilation of remotesounding data and its effect on weather forecasting. Mon. Weather Rev. 107:140–171.

Ghil, M., S. Cohn, J. Tavantzis, K. Bube, and E. Isaacson. 1981. Applications of estimation theory to numerical weather predictions. In Dynamic Meteorology: Data Assimilation Methods, L. Bengtsson, M. Ghil, and E. Kallen, eds. Springer-Verlag, New York, pp. 139–224.

Golding, B.W. 1989. The Meteorological Office experimental mesoscale numerical weather prediction system: July 1989. Technical Note No. 30, British Meteorological Office, Bracknell, U.K. 26 pp.


Haidvogel, D.G., and A.R. Robinson, eds. 1989. Spatial Issue on Data Assimilation in Ocean Modeling. Dyn. Atmos. Oceans 13(3 and 4):171–575.

Harrison, D.E., W.S. Kessler, and B.J. Giese. 1989. Ocean circulation model hindcasts of the 1982–83 El Niño: Thermal variability along the ship-of-opportunity tracks . J. Phys. Oceanogr. 19:397–418.

Hoffman, R.N., and E. Kalnay. 1983. Lagged-average forecasting, an alternative to Monte Carlo forecasting. Tellus 35A:100–118.

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×

Hoke, J.E., and R.A. Anthes. 1976. The initialization of numerical models by a dynamic initialization technique. Mon. Weather Rev. 104:1551–1556.

Hoke, J.E., N.A. Phillips, G.J. DiMego. J.J. Tuccillo, and J.G. Sela. 1989. The regional analysis and forecast system of the National Meteorological Center. Weather and Forecasting 4:323–334.

Hollingsworth, A. 1987. Objective analysis for numerical weather prediction. Proceedings of International Symposium for Short-and Medium-Range Weather Prediction, WMO/IUGG NWP symposium, Tokyo. August 4–8, 1986, T. Matsuno, ed. J. Meteorol. Soc. Jap:1–60.

Hollingsworth, A. 1989. The role of four-dimensional assimilation in the quality control, interpretation, and synthesis of climate data. Oceanic Circulation Models: Combining Data and Dynamics, J. Willebrands and D. Anderson, eds. Kluwer Academic Publishers, pp. 303–343 .

Hollingsworth, A., and P. Lönnberg. 1986. The statistical structure of short range forecast errors as determined from radiosonde data. Part I. The wind field. Tellus 38A:111–136.

Hollingsworth, A., and P. Lönnberg. 1989. Verification of objective analyses: Diagnosis of analysis system performance. Meteorol. Atmos. Phys. 40:3–27.

Hollingsworth, A., A.C. Lorenc, M.S. Tracton, K. Arpe, G. Cats, S. Uppala, and P. Kallberg. 1985. The response of numerical weather prediction systems to FGGE level IIb data. Part I. Analyses. Quart. J. Roy. Meteorol. Soc. 111:1–66.

Hollingsworth, A., D.B. Shaw, P. Lönnberg, L. Illari, K. Arpe, and A.J. Simmons. 1986. Monitoring of observation and analysis quality by a data assimilation system. Mon. Weather Rev. 114.861–879.

Horel, J.D., and J.M. Wallace. 1981. Planetary scale phenomena associated with the southern oscillation. Mon. Weather Rev. 109:813–829.

Illari, L. 1989. The quality of satellite precipitable water content data and their impact on analyzed moisture fields. Tellus 41A:319–337.


Janssen, P.A.E.M., P. Lionello, M. Reistad, and A. Hollingsworth. 1989. Hindcasts and data assimilation studies with the WAM model during the SEASAT period. J. Geophys. Res. 94:973–993.

Jarwinski, A.H. 1970. Stochastic Processes and Filtering Theory. Academic Press, New York, 376 pp.

Jenne, R.L. 1982. Planning Guidance for the World Climate Data System. WCP-19, World Meteorological Organization, Geneva, 136 pp.

Julian, P. 1984. Objective analysis in the tropics: A proposed scheme. Mon. Weather Rev. 112:1752–1767.


Kalman, R.E. 1960. A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng. 82D:35–45.

Kalman, R.E., and R.S. Bucy. 1961. New results in linear filtering and prediction theory. Trans. ASME J. Basic Eng. 83D:95–108.

Kalnay, E., R. Atlas, W. Baker, and J. Susskind. 1985. GLAS experiments on the impact of FGGE satellite data on numerical weather prediction. Proceedings of the First National Workshop on the Global Weather Experiment: Current Achievements and Future Directions, Vol. 2, Part I, pp. 121–145. National Academy Press, Washington, D.C.

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×

Kasahara, A., R.C. Balgovind, and B.B. Katz. 1988. Use of satellite radiometric imagery data for improvement in the analysis of divergent wind in the tropics. Mon. Weather Rev. 116:866–883.

Kelly, G., E. Andersson, A. Hollingsworth, P. Lönnberg, J. Pailleux, Z. Zhang. 1991. Quality control of NESDIS physical retrievals of TOVS satellite data. To appear in Mon. Weather Rev., July issue.

Krishnamurti, T.N., and S. Low-Nam. 1986. On the relationship between the outgoing longwave radiation and the divergent circulation. J. Meteor. Soc. Jpn. 64:709–719.

Lange, A.A. 1989. Results of the WMO/CAS NWP Data Study and Intercomparison Project for forecasts for the northern hemisphere in 1988. World Weather Watch Technical Report No. 7, WMO/TD No. 317. World Meteorological Organization, Geneva.

Lazier, J.R. 1988. Temperature and salinity changes in the deep Labrador Sea, 1962–1986. Deep-Sea Res. 35:1247–1253.

Le Dimet, F.X., and O. Talagrand. 1986. Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects. Tellus 38A:97–110.

Leetmaa, A., and M. Ji. 1989. Operational hindcasting of the tropical Pacific. Dyn. Atmos. Oceans 13:465–490.

Leith, C.E. 1974. Theoretical skill of Monte Carlo forecasts. Mon. Weather Rev. 102:409–418.

Levitus, S. 1989. Interpentadal variability of temperature and salinity at intermediate depths of the North Atlantic Ocean. J. Geophys. Res. 94:6091–6131.

Lewis, J.M., and J.C. Derber. 1985. The use of adjoint equations to solve a variational adjustment problem with advective constraints. Tellus 37A:309–322.

Long, R.B., and W.C. Thacker. 1989a. Data assimilation into a numerical equatorial ocean model. Part I: The model and assimilation algorithm. Dyn. Atmos. Ocean. 13:379–412.

Long, R.B., and W.C. Thacker. 1989b. Data assimilation into a numerical equatorial ocean model. Part II: Assimilation experiments. Dyn. Atmos. Ocean. 13:413–440.

Lorenc, A.C. 1976. Results of some experiments assimilating observations from a simulation of the FGGE observing system into a global general circulation model. In JOC Study Conference on Four-Dimensional Data Assimilation, Paris, 1975. Report II, GARP on Numerical Experimentation. Pub. WMO/ICSU, pp. 358–374. World Meteorological Organization, Geneva.

Lorenc, A.C. 1981. A global three-dimensional multivariate statistical interpolation scheme. Mon. Weather Rev. 109:701–721.

Lorenc, A.C. 1986. Analysis methods for numerical weather prediction. Q. J. R. Meteorol. Soc. 112:1177–1194.

Lyne, W.H., R. Swinbank, and N.T. Birch. 1982. A data assimilation experiment and the global circulation during the FGGE Special Observing Periods. Q. J. R. Meteorol. Soc. 108:575–594.


Marchuk, G.I. 1974. Numerical solution of the problems of the dynamics of the atmosphere and ocean. Leningrad, Gidrometeoizdat, 303 pp. (in Russian).

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×

McPherson, R.D., K.H. Bergman, R.E. Kistler, G.E. Rasch, and D.S. Gordon. 1979. The NMC operational global data assimilation system. Mon. Weather Rev. 107:1455–1461.

Meteorological Office. 1987. The storm of 15/16 October 1987. Meteorological Office Report, December 1987. Available from Her Majesty's Stationery Office, London, ISBN-0-86180-232-2.

Miller, R.N. 1986. Toward the application of the Kalman filter to regional open ocean modeling. J. Phys. Oceanogr. 16:72–86.

Miller, R.N., and M.A. Cane. 1989. A Kalman filter analysis of sea level height in the tropical Pacific. J. Phys. Oceanogr. 19:773–790.

Miyakoda, K., L. Umscheid, D.H. Lee, J. Sirutis, R. Lusen, and F. Pratte. 1976. The near-real time global four-dimensional analysis experiment during the GATE period, Part I. J. Atmos. Sci. 33:561–571.

Moore, A.M. 1989. Aspects of geostrophic adjustment during tropical ocean data assimilation. J. Phys. Oceanogr. 19:435–461.

Moore, A.M., N.S. Cooper. and D.L.T. Anderson. 1987. Initialization and data assimilation in models of the Indian Ocean. J. Phys. Oceanogr. 17:1965–1977.

Morlire, A.P., G. Reverdin, and J. Merle. 1989. Assimilation of temperature profiles in a general circulation model of the tropical Atlantic. J. Phys. Oceanogr. 19:1892–1899.

National Research Council, Committee on Global Change. 1990. Research Strategies for the U.S. Global Change Research Program. National Academy Press, Washington, D.C., 291 pp.

National Research Council, Panel on Dynamic Extended Range Forecasting. 1991. Prospects for Extending the Range of Prediction of the Global Atmosphere. National Academy Press, Washington, D.C., in press.


Palmer, T.N. 1986. Influence of Atlantic, Pacific, and Indian oceans on Sahel rainfall. Nature 322:251–253.

Parrish, D.F., and S.E. Cohn. 1985. A Kalman Filter for a Two-Dimensional Shallow-Water Model: Formulation and Preliminary Experiments. Office Note 304, National Meteorological Center, Washington, D.C., 64 pp.

Penenko, V., and N.N. Obraztsov. 1976. A variational initialization method for the fields of the meteorological elements. Meteorologiya i Gidrologiya (English translation) 11:1–11.

Philander, S.G.H., W.J. Hurlin, and R.C. Pacanowski. 1987. Initial conditions for a general circulation model of the tropical ocean. J. Phys. Oceanogr. 17:147–157.


Rasmusson, E.M. 1968. Atmospheric water vapor transport and the water balance of North America. II. Large-scale water balance investigations. Mon. Weather Rev. 96:720–734.

Reynolds, R.W., K. Arpe, C. Gordon, S.P. Hayes, A. Leetmaa, and M.J. McPhaden. 1989. A comparison of tropical Pacific surface wind analyses. J Climate 2:105–111.

Robinson, A.R., and W.G. Leslie. 1985. Estimation and prediction of oceanic eddy fields. Prog. Oceanogr. 14:485–510.

Robinson, A.R., J.A. Carton, N. Pinardi, and C.N.K. Mooers. 1986. Dynamical forecasting and dynamical interpolation: An experiment in the California current. J. Phys. Oceanogr. 16:1561–1579.

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×

Robinson, A.R., M.A. Spall, L.J. Walstead, and W.G. Leslie. 1989. Data assimilation and dynamical interpolation in gulfcast experiments. Dyn. Atmos. Oceans 13:301–316.

Seaman, N.L. 1989. Description and evaluation of the meteorological cases used in the RADM NAPAP evaluation and assessment. Final Report to the Environmental Protection Agency under Interagency Agreement DW49933202, Pennsylvania State University, 245 pp.

Sellers, P.J., F.G. Hall, G. Asar, D.E. Strebel, and R.E. Murphy. 1988. The First ISLSCP Field Experiment (FIFE). Bull. Am. Meteorol. Soc. 69:22–27.

Shukla, J. 1985. Predictability. In Advances in Geophysics, 28 (Issues in Atmospheric and Oceanic Modeling. Part B), S. Manabe, ed. Academic Press, New York, pp. 87–122.

Stern. W.F., and J.J. Ploshay. 1991. A scheme for continuous data assimilation. Mon. Weather Rev., in press.

Stern, W.F., J.J. Ploshay, and K. Miyakoda. 1985. Continuous data assimilation at GFDL during FGGE. In Report of Seminar/Workshop on Data Systems and Observing System Experiments with Particular Emphasis on FGGE, in 1984, sponsored by ECMWF and WMO, Vol. 2, pp. 125–156. European Centre for Medium Range Weather Forecasts, Bracknell, U.K.


Talagrand, O., and P. Courtier. 1987. Variational assimilation of meteorological observations with the adjoint vorticity equation. Part I. Theory. Q. J. R. Meteorol. Soc. 113:1311–1328.

Thacker, W.C., and R.B. Long. 1988. Fitting dynamics to data. J. Geophys. Res. 93:1227–1240.

Tiedtke, M., W.A. Heckley, and J. Slingo. 1988. Tropical forecasting at ECMWF. Q. J. R. Meteorol. Soc. 144:639–664.

Tropical Rainfall Measuring Mission Science Steering Group. 1988. Report of the Science Steering Group for a Tropical Rainfall Measuring Mission (TRMM). J. Simpson, ed., NASA, Washington, D.C., 94 pp.


Uppala, S., P. Kalberg, A. Hollingsworth, and S. Tibaldi. 1985. Results from two recent observing system experiments. Proceedings of the First National Workshop on the Global Weather Experiment: Current Achievements and Future Directions, Vol. 2. Part I. pp. 85–117. National Academy Press, Washington, D.C.


Wallace, J.M., and D.S. Gutzler. 1981. Teleconnections in the geopotential height field during the northern hemisphere winter. Mon. Weather Rev. 109:785–812.

World Climate Research Program. 1986. Report of the Workshop on Global Large-Scale Precipitation Data Sets for the World Climate Research Programme. WCP-111, WMO/TD-No. 94, World Meteorological Organization, Geneva, 50 pp.

Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
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Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×
Page 71
Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×
Page 72
Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×
Page 73
Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×
Page 74
Suggested Citation:"References." National Research Council. 1991. Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences. Washington, DC: The National Academies Press. doi: 10.17226/1830.
×
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 Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences
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This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model assimilations of data in the atmospheric and oceanographic sciences and projects their applicability to the earth sciences as a whole.

Using the predictive power of geophysical laws incorporated in the general circulation model to produce a background field for comparison with incoming raw observations, the model assimilation process synthesizes diverse, temporarily inconsistent, and spatially incomplete observations from worldwide land, sea, and space data acquisition systems into a coherent representation of an evolving earth system.

The book concludes that this subdiscipline is fundamental to the geophysical sciences and presents a basic strategy to extend the application of this subdiscipline to the earth sciences as a whole.

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